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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'Verse ID', 'Verse', 'Chapter', 'Book Number', 'Book Name', 'Text'}) and 2 missing columns ({' á ááá', 'áĽááááá '}).
This happened while the csv dataset builder was generating data using
hf://datasets/hopegeb/EngAmh/bible_amh.csv (at revision 98fe0ee7ef06e4582ef59151e08251583aed2412)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Verse ID: int64
Book Name: string
Book Number: int64
Chapter: int64
Verse: int64
Text: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 938
to
{'áĽááááá ': Value(dtype='string', id=None), ' á ááá': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'Verse ID', 'Verse', 'Chapter', 'Book Number', 'Book Name', 'Text'}) and 2 missing columns ({' á ááá', 'áĽááááá '}).
This happened while the csv dataset builder was generating data using
hf://datasets/hopegeb/EngAmh/bible_amh.csv (at revision 98fe0ee7ef06e4582ef59151e08251583aed2412)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
áĽááááá string | á ááá string |
|---|---|
abandon | áá°á |
abandoned | á¨á°áŁá |
abasement | ááá°áľ |
abash | á áłá᪠|
abate | ááá°áŁ á°á¨á |
abdomen | ááľ |
abhorrence | áĽááť |
abide | á áááá |
ability | á˝ááł |
abject | á á°áá |
able | á˝ááł áŤáá |
ablation | ááłá ἠ|
abnegate | ááá
|
abode | áááŞáŤ |
abolition | ááĽááľ |
abominate | ááĽááľ |
abort | á¨ááá |
abound | áááŁá°áľá¨áá¨á |
about | áá
áᣠáá°á áľá |
above | ááᣠá¨áá |
abrasion | ááá
|
abridge | á á°áłá ᨠ|
abroad | áá á áá |
abrogate | áťá¨ |
abupt | áľááá°á |
abscess | áĽáŁá |
abscond | áá¸á˝ |
absent | á᪠|
absent minded | ááá |
absorb | áŤáᣠáá á |
absstain | á°á á áᣠá°áá á |
abundance | áĽááľ |
abuse | áľáľáĽ |
abut | á¨á°áŤáŤáᣠáá |
abyss | áá°á |
acacia | ááŤá |
accede | áá¨á°áŁ á°áá á |
accelerate | ááĽááľ á¨áᨠ|
accept | áĽáş á á |
acceptable | á°áľáá |
accession | áá¨áá |
accident | áľááá°áľáŁ á á°á |
acclimate | ááá° |
accompany | ááἠ|
accomplishment | áĽáŤ |
accord | áľááááľ |
accrue | á¨áᨠ|
accurate | áľáááá |
accusation | ááľ |
accused | á°á¨áłá˝ |
accuser | á¨áłá˝ |
ache | á
áá |
achieve | á áŤáŁ áá¸á |
acne | áĽáá |
acquaintance | áá°áááľ |
acquire | á áá |
acquit | á áá á°ááá |
acre | á¨ááŹáľ áľááľ áááŞáŤ |
across | á¨áłá áĽáłá |
acting | á°á á áŁáŁá |
active | áĽááąáŁ áá |
adan | á áłá |
add | áá¨ááᣠáá°áá |
addict | áąá°á |
addition | áąáľ |
addition | áľáá |
address | á áľáŤáť |
adept | á áŁáá፠|
adjure | ááá |
adjust | á áľá°áŤá¨á |
adjutant | á¨áłáľ |
administration | á áľá°áłá°á |
administrator | á áľá°áłáłáŞ |
admiral | á¨áŁá
á ááá á áἠ|
adolescent | áá¨ááłáŁ áŽá¨áł |
adoration | ááá á |
adore | á ááᨠ|
adorn | á áľáá |
adroit | áá´á |
adult | áááááłáŁ á áá |
adulteress | ááá á´áľ |
adultery | áááľ |
advanced | á¨áá°á |
adventitious | á°á¨ááŞáŁ á á ááŁá á¨ááᣠ|
adversity | áá¨áŤ |
advertisement | ááľáłáá፠|
advertiser | á áľá°ááá |
advertise | ááľáłáá
|
advisory | á ááŤáŞ |
advocate | á á á |
adze | ááĽá¨á˘áŤ |
aerial | á áá´á |
afar | áŠá
|
affection | áá
á |
affiliation | áááľá |
affinity | á°ááłáłá |
afflict | á áŁá ááł |
afflient | áŁááá |
afford | á°á |
affromt | á áá¨á° |
End of preview.
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